DE102020117792A1 - Wirksames einsetzen von hindernis- und spurerkennungen, um spurzuweisungen für objekte in einer umgebung zu bestimmen - Google Patents
Wirksames einsetzen von hindernis- und spurerkennungen, um spurzuweisungen für objekte in einer umgebung zu bestimmen Download PDFInfo
- Publication number
- DE102020117792A1 DE102020117792A1 DE102020117792.5A DE102020117792A DE102020117792A1 DE 102020117792 A1 DE102020117792 A1 DE 102020117792A1 DE 102020117792 A DE102020117792 A DE 102020117792A DE 102020117792 A1 DE102020117792 A1 DE 102020117792A1
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- Prior art keywords
- lane
- fence
- track
- vehicle
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
- G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
- G06V20/588—Recognition of the road, e.g. of lane markings; Recognition of the vehicle driving pattern in relation to the road
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/20—Drawing from basic elements, e.g. lines or circles
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/12—Edge-based segmentation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
- G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20081—Training; Learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20084—Artificial neural networks [ANN]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
- G06T2207/20132—Image cropping
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30248—Vehicle exterior or interior
- G06T2207/30252—Vehicle exterior; Vicinity of vehicle
- G06T2207/30256—Lane; Road marking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30248—Vehicle exterior or interior
- G06T2207/30252—Vehicle exterior; Vicinity of vehicle
- G06T2207/30261—Obstacle
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2210/00—Indexing scheme for image generation or computer graphics
- G06T2210/12—Bounding box
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Multimedia (AREA)
- Data Mining & Analysis (AREA)
- Analytical Chemistry (AREA)
- Chemical & Material Sciences (AREA)
- Bioinformatics & Computational Biology (AREA)
- General Engineering & Computer Science (AREA)
- Evolutionary Computation (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Artificial Intelligence (AREA)
- Life Sciences & Earth Sciences (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Traffic Control Systems (AREA)
- Image Analysis (AREA)
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US16/535,440 US10997435B2 (en) | 2019-08-08 | 2019-08-08 | Leveraging obstacle and lane detections to determine lane assignments for objects in an environment |
US16/535,440 | 2019-08-08 |
Publications (1)
Publication Number | Publication Date |
---|---|
DE102020117792A1 true DE102020117792A1 (de) | 2021-02-11 |
Family
ID=74188380
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
DE102020117792.5A Pending DE102020117792A1 (de) | 2019-08-08 | 2020-07-06 | Wirksames einsetzen von hindernis- und spurerkennungen, um spurzuweisungen für objekte in einer umgebung zu bestimmen |
Country Status (4)
Country | Link |
---|---|
US (3) | US10997435B2 (zh) |
JP (1) | JP7424866B2 (zh) |
CN (1) | CN112347829A (zh) |
DE (1) | DE102020117792A1 (zh) |
Families Citing this family (20)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE112019000048T5 (de) | 2018-03-15 | 2020-01-16 | Nvidia Corporation | Bestimmung eines befahrbaren freiraums für autonome fahrzeuge |
US11648945B2 (en) | 2019-03-11 | 2023-05-16 | Nvidia Corporation | Intersection detection and classification in autonomous machine applications |
DE112020001434T5 (de) * | 2019-03-27 | 2021-12-23 | Sony Group Corporation | Datenverarbeitungsvorrichtung, datenverarbeitungsverfahren und programm |
US11375275B2 (en) * | 2019-11-19 | 2022-06-28 | Charter Communications Operating, Llc | Method and system for using lip sequences to control operations of a device |
KR20210062477A (ko) * | 2019-11-21 | 2021-05-31 | 삼성전자주식회사 | 전자 장치 및 그 제어 방법 |
KR20210132496A (ko) * | 2020-04-27 | 2021-11-04 | 한국전자기술연구원 | 영상 기반 차선 검출 및 주행 차로 인식 방법 및 장치 |
US11644830B1 (en) | 2020-06-02 | 2023-05-09 | Aurora Operations, Inc. | Autonomous vehicle remote teleoperations system with scenario selection |
US11595619B1 (en) * | 2020-06-02 | 2023-02-28 | Aurora Operations, Inc. | Autonomous vehicle teleoperations system |
US11560154B1 (en) | 2020-06-02 | 2023-01-24 | Aurora Operations, Inc. | Autonomous vehicle remote teleoperations system |
WO2022006418A1 (en) | 2020-07-01 | 2022-01-06 | May Mobility, Inc. | Method and system for dynamically curating autonomous vehicle policies |
JP2023553980A (ja) | 2020-12-14 | 2023-12-26 | メイ モビリティー,インコーポレイテッド | 自律車両安全プラットフォームシステム及び方法 |
JP2024500672A (ja) | 2020-12-17 | 2024-01-10 | メイ モビリティー,インコーポレイテッド | 自律エージェントの環境表現を動的に更新するための方法およびシステム |
US11472436B1 (en) | 2021-04-02 | 2022-10-18 | May Mobility, Inc | Method and system for operating an autonomous agent with incomplete environmental information |
CN113033030B (zh) * | 2021-05-25 | 2021-08-03 | 四川见山科技有限责任公司 | 一种基于真实道路场景的拥堵模拟方法及系统 |
WO2022267000A1 (en) * | 2021-06-25 | 2022-12-29 | Intel Corporation | Methods and apparatus for scale recovery from monocular video |
CN113255619B (zh) * | 2021-07-09 | 2021-11-23 | 禾多科技(北京)有限公司 | 车道线识别及定位方法、电子设备和计算机可读介质 |
CN113467464A (zh) * | 2021-07-17 | 2021-10-01 | 普达迪泰(天津)智能装备科技有限公司 | 一种用于无人车轨迹模拟测试的卫星定位运动轨迹方法 |
US20230099494A1 (en) * | 2021-09-29 | 2023-03-30 | Nvidia Corporation | Assigning obstacles to lanes using neural networks for autonomous machine applications |
DE102021127748A1 (de) | 2021-10-26 | 2023-04-27 | Valeo Schalter Und Sensoren Gmbh | Verfahren, computerprogrammprodukt, parkassistenzsystem und fahrzeug |
WO2023154568A1 (en) | 2022-02-14 | 2023-08-17 | May Mobility, Inc. | Method and system for conditional operation of an autonomous agent |
Family Cites Families (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9098751B2 (en) * | 2011-07-27 | 2015-08-04 | Gentex Corporation | System and method for periodic lane marker identification and tracking |
US9721471B2 (en) * | 2014-12-16 | 2017-08-01 | Here Global B.V. | Learning lanes from radar data |
US10262213B2 (en) * | 2014-12-16 | 2019-04-16 | Here Global B.V. | Learning lanes from vehicle probes |
US10586102B2 (en) | 2015-08-18 | 2020-03-10 | Qualcomm Incorporated | Systems and methods for object tracking |
CN110678915B (zh) | 2017-05-25 | 2022-03-11 | 本田技研工业株式会社 | 车辆控制装置 |
US10586456B2 (en) * | 2018-04-27 | 2020-03-10 | TuSimple | System and method for determining car to lane distance |
US10761535B2 (en) * | 2018-08-21 | 2020-09-01 | GM Global Technology Operations LLC | Intelligent vehicle navigation systems, methods, and control logic for multi-lane separation and trajectory extraction of roadway segments |
US10832439B1 (en) * | 2019-04-19 | 2020-11-10 | Zoox, Inc. | Locating entities in a mapped environment |
-
2019
- 2019-08-08 US US16/535,440 patent/US10997435B2/en active Active
-
2020
- 2020-03-04 JP JP2020036424A patent/JP7424866B2/ja active Active
- 2020-04-28 CN CN202010350455.1A patent/CN112347829A/zh active Pending
- 2020-07-06 DE DE102020117792.5A patent/DE102020117792A1/de active Pending
-
2021
- 2021-04-19 US US17/234,475 patent/US20210241004A1/en active Pending
- 2021-04-19 US US17/234,487 patent/US20210241005A1/en active Pending
Also Published As
Publication number | Publication date |
---|---|
US20210241005A1 (en) | 2021-08-05 |
US10997435B2 (en) | 2021-05-04 |
CN112347829A (zh) | 2021-02-09 |
JP7424866B2 (ja) | 2024-01-30 |
US20210042535A1 (en) | 2021-02-11 |
US20210241004A1 (en) | 2021-08-05 |
JP2021026752A (ja) | 2021-02-22 |
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Legal Events
Date | Code | Title | Description |
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R012 | Request for examination validly filed | ||
R079 | Amendment of ipc main class |
Free format text: PREVIOUS MAIN CLASS: G06K0009620000 Ipc: G06V0030190000 |